code: def _init_layers(self):
      for name, param in self.layers.named_parameters():
          if "bias" in name:
              nn.init.constant_(param, 0.0)
          elif "weight" in name:
              nn.init.xavier_normal_(param)
  
file_path: TTS/TTS/speaker_encoder/model.py
imports: import torch
  from torch import nn
label_desc: Use image node_id 2 for calling the SpeakerEncoder obj's underlying member method code with example usage: obj._init_layers() without return types